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Video course · 15 chapters · 711 min · certificate

Data Science & AI Beginner Course: ML, Deep Learning, TensorFlow

A complete beginner path through data science and AI: what data science is, the data lifecycle, statistics and probability, hypothesis testing, regression, decision trees and random forests, KNN, Naive Bayes, SVM, k-means, Apriori, reinforcement learning, deep learning with Keras, a roadmap and interview questions.

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What you'll learn

  • Explain data science and the data lifecycle
  • Apply statistics, probability and hypothesis tests
  • Use regression, trees, forests, KNN, Naive Bayes and SVM
  • Cluster with k-means and mine rules with Apriori
  • Understand reinforcement and deep learning with Keras
  • Plan a roadmap and prepare for interviews

Chapters

15 chapters · 710:56
  1. 40:12 01Intro Members What is data science Data science, data scientists and reasons to learn it.
  2. 56:51 02Basics Members Data science basics and the lifecycle AI vs ML vs DL and the data lifecycle.
  3. 92:30 03Statistics Members Statistics and probability Descriptive stats, distributions and probability.
  4. 52:53 04Statistics Members Hypothesis testing Testing hypotheses with data.
  5. 43:33 05ML Members ML and linear regression What ML is and linear regression.
  6. 48:30 06ML Members Logistic regression Classification with logistic regression.
  7. 45:21 07ML Members Decision trees The decision tree algorithm.
  8. 27:12 08ML Members Random forest Ensembles of trees.
  9. 52:43 09ML Members KNN and Naive Bayes K-nearest neighbours and Naive Bayes (with NLP context).
  10. 45:37 10ML Members SVM and k-means Support vector machines and k-means clustering.
  11. 29:42 11ML Members Apriori Association rule mining.
  12. 45:20 12AI Members Reinforcement learning and deep learning RL and what deep learning is.
  13. 31:27 13Deep learning Members Introduction to Keras Building neural networks with Keras.
  14. 47:09 14Career Members Roadmap and analytics vs science Data science roadmap, analytics vs science, non-programmers.
  15. 51:56 15Career Members Interview questions Common data science interview questions.

Jobs this course suits

Our AI checked this course against 500 jobs; these get the most out of it. Each job links to its learning path.

Data AnalystsBioinformaticiansEpidemiologistsInsurance Data AnalystsData ScientistsStatisticiansResearch ScientistsAstronomersBusiness Intelligence Analysts